This repository is a comprehensive, curated list of resources for Natural Language Processing (NLP), targeting researchers, developers, and students. It aims to provide a centralized hub for learning about and implementing NLP techniques, covering everything from foundational concepts to state-of-the-art models and tools across various programming languages and specific linguistic domains.

How It Works

The list is organized into thematic sections, including research summaries, prominent labs, tutorials, books, libraries, services, annotation tools, and datasets. It also features dedicated sections for NLP in numerous languages, highlighting specific tools and data relevant to each. The content is community-driven, encouraging contributions to maintain its breadth and currency.

Quick Start & Requirements

This is a curated list, not a software package. No installation or specific requirements are needed to browse the resources. Links to official documentation, demos, and GitHub repositories are provided for each listed item.

Highlighted Details

• Extensive coverage of NLP libraries and frameworks for Python, Java, Scala, R, C++, and more.
• Detailed sections for NLP in over 20 languages, including Korean, Arabic, Chinese, German, Spanish, Indic languages, Thai, Vietnamese, Dutch, Indonesian, Persian, and Ukrainian.
• Curated lists of datasets, annotation tools, and research trends, offering a broad overview of the NLP landscape.
• Links to academic courses, tutorials, and books for both introductory and advanced learning.

Maintenance & Community

The repository is maintained by the community, with contributions encouraged via pull requests. It serves as a community resource rather than a project with a dedicated development team or roadmap.

Licensing & Compatibility

The repository itself is licensed under CC0, dedicating it to the public domain. Individual resources linked within the list will have their own respective licenses.

Limitations & Caveats

As a curated list, the recency and accuracy of individual resource links depend on community contributions. Some listed tools or datasets may be outdated or superseded by newer technologies.